Collaborative Enterprise Understanding

Transcription

1 Collaborative Enterprise Understanding A New Approach to Data Understanding & Governance Case Studies

2 Case Study Index 1. Initiating Cultural Change 2. Promoting Alignment & Reuse 3. Establish Lasting Governance 4. Wholesale Division Resolvability 5. Research Data Stewardship 6. Business Transformation

3 The value dilemma Nobody argues that managing our information better can provide significant benefits to the business. It s human nature to ask What s in it for me / my department? If there is no local value fairly quickly, support will only last until a more urgent task comes along Axon ensures immediate value creation at micro and macro level 1. Small contributions in tune with local expertise 2. Linking data to business facets brings relevance to business users 3. Local understanding is connected up to the wider context and visa versa 4. Each connection strengthens or extends the knowledge network 5. Each connection validates and enriches the whole

4 Case Study 1 : Initiating Cultural Change Where is the value? The wholesale division of a large UK bank had identified significant data challenges & wanted to set-up a division wide data management programme Multiple programmes had tried and failed to make an impact in the past Stakeholders pushed back on the idea due to scale, complexity, and previous failures This is practical, and can help me solve real issues The CEO of the division was a strong initial sponsor to force initial momentum Axon was used to quickly collate data understanding and engage communities across functional boundaries An integrated and contextual view brought business relevance and turned forced participation to voluntary and growing participation We have a go-to-point and a process to get clarity The initiative extended outside of the division, with groups requesting to join Over a period of 6 months, over 250 people from Change Management, Operations, Risk, IT and FO collaborated on building, validating and managing a real-world view of data usage 100+ systems, attributes, 800 unique data concepts etc. Axon provided a view of data that was relatable, and shared the workload to simplify collaboration

5 Case Study 2 : Promoting Alignment & Re-use Lists are too complex and diverse to align A Finance department was responsible for consolidated reporting performance Many performance unit code lists existed and materiality of differences, origination, usage and ownership was unclear Previous alignment efforts had failed Significant reporting challenges were arising every month as the codes could not be reconciled across platforms Aha, I understand why you want to do it that way Axon was used to maintain, change control and publish the central unit code list New parties were gradually brought on board by initially recording mappings into central list Over time almost all differences got reconciled as materiality, context and impact of differences end-to-end was clearly understood Transparency & control breaking years of deadlock 3 years later the team are still controlling a widely used reference data list, efficiently and effectively supporting the business The success has inspired them to bring additional lists under governance in the same manner Stakeholders of the service are also improving their data governance practices in their areas Axon helped to break down complex issues, promoted collaboration through common understanding, and expansion through demonstrable results in a credible application

6 Case Study 3 : Establish Lasting Governance They are stuck in their own silo, in committee rooms Wholesale banking division had made several attempts at data governance had failed before Data Governance was perceived to be overhead, detached from reality and providing little benefit to the day-to-day No tangible output other than policy document and meeting minutes Data has been made tangible and relevant to me Axon was used to engage local business communities and invite them to capture their local data reality in terms of system dictionaries, lineage, stakeholders, change processes etc. Local responsibilities as well as local subject matter experts were recognised Local submissions were connected up in terms of data lineage and business glossary Getting DG into the reality of today Unprecedented level of input and support for data governance Data governance work was grounded into the business reality of today Discussions of ownership had precision and context Data was made tangible and given a documented state that could be discussed strategically rather than just going from hot issue to hot issue Axon provided a platform for local business communities and central functions to collaborate and establish a transparent and responsible way of working

7 Case Study 4 : Wholesale Division Resolvability Wholesale division being sold and needs to be carved out Wholesale banking division was being sold off and the interconnectedness of the division with the other parts of the bank needed to be understood Most time critical was to understand the division s client data flows and reliance on group systems and resources Chart data, process and system lineage in and out Diaku Axon was deployed as part of a 6 week effort to capture the lineage for those data items critical in the client onboarding process across 57 systems Data and system usage and ownership was mapped out at the at a legal entity level Local accountable parties and subject matter experts recorded against each of the items Understand interconnectedness The knowledge captured in Diaku Axon formed a key part of the submission to the regulator confirming data lineage, usage and controls are understood and compliant with set policies and regulations The effort was subsequently leveraged to introduce a data governance service and have data knowledge as a corporate asset Axon provided a platform to very quickly chart the organisational interconnectedness and assess resolvability issues

8 Case Study 5 : Research Data Stewardship Increase reuse of research data Research division at global pharmaceutical wants to drastically increase reuse of research data Research is typically executed within the silo of a research unit with very little sharing of results be those positive or negative Lack of sharing of research efforts and results has lead to sizable duplication and unnecessary spend Chart research data landscape Diaku Axon was deployed as part of a 4 month effort to chart core research systems across 5 business areas Research data was classified across 100+ systems Data lineage captured across main data hubs Business glossary of 3k research terms captured Data stewardship driving reuse of research data The research data landscape has been outlined Understanding about data origination established Business glossary leveraged to identify which research data resides in which systems Diaku Axon being rolled out across the division to drive business engagement and stewardship effort Axon platform rolled out to drive Data Stewardship effort and ensure reuse of research data

9 Case Study 6 : Business Transformation Enterprise wide consolidation of client onboarding Enterprise wide programme at tier 1 bank to consolidate client onboarding activities and systems, provide single master source of client data Regulatory requirements, application rollout, competing reconciliations and 600+ downstream systems create an extremely complex environment Interdependencies not properly understood nor managed Connected view of project and data landscape Diaku Axon was deployed to provide insight into project dependencies and overlaps in terms of systems, data, regulation, use of subject matter experts etc Data lineage captured in Axon further informed the project scheduling Ability to manage project and data dependencies Interdependencies of large number of projects and the affected systems and data within can be tracked Impact of scope changes can be assessed with precision Any member in any of the 100+ projects can now see the data lineage relevant to any of the projects and overlay the map with dependent projects Shared view shows the new landscape, enabling smooth transition into operational BAU Axon platform giving unprecedented insight in project and data dependencies

10 Why it works Data is used by the business, but data is not their business When data is presented within its business context, participating becomes a way to solve business challenges Doing better around data requires collaboration across many functions and stakeholder groups Delivering tangible value to every stakeholder whatever its function